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A medical image fusion method combining wavelet transform domain and space domain

A wavelet transform, medical image technology, applied in the field of image processing, can solve problems such as insufficient resolution, inability to distinguish and reflect metabolism, etc.

Active Publication Date: 2018-09-28
XIAMEN UNIV OF TECH
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Problems solved by technology

Anatomical images are characterized by being able to display the structure of internal organs or tissues of the human body under high-resolution conditions, but cannot distinguish and reflect information on metabolism, including Magnetic Resonance Imaging (MRI) , computerized tomography (Computerized Tomography, CT) and B-ultrasound, etc.; functional images include positron emission tomography (Positron Emission Tomography, PET) and single photon emission computed tomography (Single Photon Emission Computed Tomography, SPECT) etc. This type of medical image can effectively extract information about metabolism in the human body, but its biggest shortcoming is insufficient resolution. Please refer to Gao Shangkai Medical Imaging System [M]. Tsinghua University Press, 2011:1-4, No. 11-24 pages

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  • A medical image fusion method combining wavelet transform domain and space domain
  • A medical image fusion method combining wavelet transform domain and space domain
  • A medical image fusion method combining wavelet transform domain and space domain

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Embodiment Construction

[0031] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0032] The invention provides a medical image fusion method combining wavelet transform domain and space domain, which combines figure 1 The dimensions of the cranial brain shown are 256×256×3 PET images and figure 2 The MRI images with dimensions shown as 256×256 are fused to obtain image 3 The image shown, wherein, the MRI image grayscale image only contains the brightness channel, and the PET image is a color image, including three color channels of red, green and blue; combined Figure 4 , the method includes the steps of:

[0033] Step 1, convert color space: convert the three color channels of red, green and blue in the RGB color space of the PET image into three channels of hue, saturation and brightness in the HSI color space, and these three channels use H, S and I indicate that the conversion formula is as follows:

[0034] ...

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Abstract

The invention discloses a medical image fusion method that combines the wavelet transform domain and the spatial domain. First, the RGB color space of the PET image is converted into the HSI color space, and then the functional information of each channel in the HSI color space is extracted; and then the PET image is extracted The wavelet decomposition coefficient of the brightness channel is fused with the wavelet decomposition coefficient of the MRI image, and then the wavelet inverse transform is performed to obtain the fused brightness channel in the wavelet transform domain for the first time; the functional information in the fused brightness channel is extracted again, and combined with the band MRI images with anatomical information are fused in the spatial domain, and the brightness channel after fusion in the spatial domain is obtained for the second time. Finally, the new HSI color space is converted into RGB color space to obtain the final fused image. This image fusion method can fuse the functional information of PET and the anatomical information of MRI in a single image, while ensuring that the image is clear and the edges are clean.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a fusion method of medical images, in particular to a method for fusion of MRI images and PET images. Background technique [0002] Existing medical images can be divided into two categories: anatomical images and functional images. Anatomical images are characterized by being able to display the structure of internal organs or tissues of the human body under high-resolution conditions, but cannot distinguish and reflect information on metabolism, including Magnetic Resonance Imaging (MRI) , computerized tomography (Computerized Tomography, CT) and B-ultrasound, etc.; functional images include positron emission tomography (Positron Emission Tomography, PET) and single photon emission computed tomography (Single Photon Emission Computed Tomography, SPECT) etc. This type of medical image can effectively extract information about metabolism in the human body, but its biggest...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/30016G06T2207/20064G06T2207/10024G06T5/73
Inventor 郭迪
Owner XIAMEN UNIV OF TECH
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